code: def reset(self):
      self._log_step = np.log(self._initial_step)
      self._log_bar = self._log_step
      self._hbar = 0.0
      self._count = 1
      self._mu = np.log(10 * self._initial_step)
      self._tuned_stats = []
  
file_path: pymc/pymc/step_methods/step_sizes.py
imports: import numpy
  from scipy import stats
  from pymc.stats.convergence import SamplerWarning, WarningType
label_desc: Use image node_id 2 for calling the DualAverageAdaptation obj's underlying member method code with example usage: obj.reset() without return types